E - Macroeconomics and Monetary Economics

• Designing a CBDC for universal access

  Staff Analytical Note 2020-10 John Miedema, Cyrus Minwalla, Martine Warren, Dinesh Shah

  If the Bank of Canada issues a central bank digital currency, the technology should be designed for universal access.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Central bank research, Digital currencies and fintech JEL Code(s): E, E4, E41, O, O3, O31

• Privacy in CBDC technology

  Staff Analytical Note 2020-9 Sriram Darbha, Rakesh Arora

  Privacy is a key aspect of a potential central bank digital currency system. We outline different technical choices to enact various privacy models while complying with the appropriate regulations. We develop a framework to evaluate privacy models and list key risks and trade-offs in privacy design.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Central bank research, Digital currencies and fintech JEL Code(s): E, E4, E42, E5, E51, O, O3

• Monetary Policy Independence and the Strength of the Global Financial Cycle

  Staff Working Paper 2020-25 Christian Friedrich, Pierre Guérin, Danilo Leiva-Leon

  We propose a new strength measure of the global financial cycle by estimating a regime-switching factor model on cross-border equity flows for 61 countries. We then assess how the strength of the global financial cycle affects monetary policy independence, which is defined as the response of central banks' policy interest rates to exogenous changes in inflation.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Exchange rate regimes, Financial system regulation and policies, International financial markets, Monetary policy JEL Code(s): E, E4, E5, F, F3, F32, F4, F42, G, G1, G15, G18

• An Economic Perspective on Payments Migration

  Staff Working Paper 2020-24 Anneke Kosse, Zhentong Lu, Gabriel Xerri

  Consumers, businesses and banks make millions of payments each day using a variety of instruments, such as debit cards, cheques and wires. Canada is currently developing three new systems to process these transactions: Lynx, Settlement Optimization Engine (SOE) and Real-Time Rail (RTR).

  Content Type(s): Staff research, Staff working papers Topic(s): Financial services, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): E, E4, E42, G, G2, G21

• The Market for Acquiring Card Payments from Small and Medium-Sized Canadian Merchants

  Staff Discussion Paper 2020-5 Angelika Welte, Jozsef Molnar

  This note uses industry data and a unique dataset of small and medium-sized merchants to provide insights into the acquirer-merchant market in Canada.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Financial services, Market structure and pricing, Payment clearing and settlement systems JEL Code(s): C, C2, D, D2, E, E4, E42

• Household indebtedness risks in the wake of COVID‑19

  Staff Analytical Note 2020-8 Olga Bilyk, Anson T. Y. Ho, Mikael Khan, Geneviève Vallée

  COVID-19 presents challenges for indebted households. We assess these by drawing parallels between pandemics and natural disasters. Taking into account the financial health of the household sector when the pandemic began, we run model simulations to illustrate how payment deferrals and the labour market recovery will affect mortgage defaults.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Climate change, Coronavirus disease (COVID-19), Credit and credit aggregates, Econometric and statistical methods, Financial stability, Fiscal policy, Housing, Recent economic and financial developments, Sectoral balance sheet JEL Code(s): C, C2, C21, D, D1, D12, D14, E, E2, E24, E27, E6, E62, G, G2, G21, G28, R, R2

• Canadian Financial Stress and Macroeconomic Conditions

  Staff Discussion Paper 2020-4 Thibaut Duprey

  Severe disruptions in the financial markets, as observed during the 2008 global financial crisis or the COVID-19 pandemic, can impair the stability of the entire financial system and worsen macroeconomic downturns.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Central bank research, Coronavirus disease (COVID-19), Financial markets, Financial stability, Monetary and financial indicators JEL Code(s): C, C3, C32, E, E4, E44, G, G0, G01

• How Do Mortgage Rate Resets Affect Consumer Spending and Debt Repayment? Evidence from Canadian Consumers

  Staff Working Paper 2020-18 Katya Kartashova, Xiaoqing Zhou

  We study the causal effect of mortgage rate changes on consumer spending, debt repayment and defaults during an expansionary and a contractionary monetary policy episode in Canada. We find asymmetric responses of consumer durable spending, deleveraging and defaults. These findings help us to understand household sector response to interest rate changes.

  Content Type(s): Staff research, Staff working papers Topic(s): Credit and credit aggregates, Interest rates, Monetary policy, Monetary policy transmission JEL Code(s): D, D1, D12, D14, E, E4, E43, E5, E52, G, G2, G21, R, R3, R31

• Scenario Analysis and the Economic and Financial Risks from Climate Change

  Staff Discussion Paper 2020-3 Erik Ens, Craig Johnston

  This paper adapts climate-economy models that have been applied in other contexts for use in climate-related scenario analysis. We consider illustrative scenarios for the global economy that could generate economic and financial risks. Our results suggest there are significant economic risks from climate change and the move to a low-carbon economy.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Climate change, Economic models, Financial stability, International topics JEL Code(s): C, C6, C68, D, D5, D58, E, E5, E50, O, O4, O44, P, P1, P18, Q, Q4, Q5, Q54, Q55

• Identifying Aggregate Shocks with Micro-level Heterogeneity: Financial Shocks and Investment Fluctuation

  Staff Working Paper 2020-17 Xing Guo

  This paper identifies aggregate financial shocks and quantifies their effects on business investment based on an estimated DSGE model with firm-level heterogeneity. On average, financial shocks contribute only 3% of the variation in U.S. public firms’ aggregate investment.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Firm dynamics JEL Code(s): E, E1, E12, E2, E22, G, G3, G31, G32